Connor Turner Email & Phone Number

Baltimore, Md, Us

Linköping, Östergötland County, Sweden

During the final semester of my master's program, I produced my thesis project with Ericsson. This thesis, entitled "Pattern Mining and Recognition in 5G Networks Using Time Series Clustering," focused on identifying and classifying network traffic patterns in real-world 5G traffic data.Tech Stack: Python, PySpark, Hadoop, SQLResponsibilities and Accomplishments:- Developed a new machine learning model using Python, PySpark, and SQL to analyze user network behavior.- Applied time series analysis, clustering, and unsupervised learning techniques to identify patterns in large-scale network traffic data (2.6 billion observations).- Designed a scalable pipeline for data mining and model development to process up to 10 million time series.- Translated existing machine learning algorithms into PySpark code to leverage high-performance compute clusters for execution, enabling a 10x speedup in computational efficiency.

Phoenix, Arizona, United States

In 2020, I started The Diamond to publish my data science projects in baseball analytics and video essays about the game. Since then, the YouTube channel has accumulated over 1 million total views, and my research was presented twice at the SABR Analytics Conference.Tech Stack: R, Python, Tensorflow, PyTorch, TidyverseResponsibilities and Accomplishments:- Developed statistical models to make predictions and derive insights from large baseball datasets (over 1 million observations).- Managed the extraction, cleaning, and transformation of large datasets from data warehouses, including building a database of 3.5 million pitches.- Applied neural networks and Markov chains to analyze pitch outcomes, resulting in more accurate prediction models.- Presented two original research projects in predictive modeling at the SABR Analytics Conference.

Scottsdale, Arizona, United States

Tech Stack: Salesforce CRM, SQLResponsibilities and Accomplishments:- Collected, cleaned, and visualized data to identify actionable insights, resolve issues, and provide data-driven recommendations for two health insurer clients with over $10 million in claims.- Built data pipelines to produce and automate reports using SQL queries from relational databases, including two daily reports, three weekly reports, and two monthly reports.- Implemented and maintained a dashboard with 12 custom reports for issue monitoring and case management.- Conducted data-driven root cause analysis and shared the findings to stakeholders, increasing trust and transparency.

Bachelor'S Degree, Quantitative Social Science

Master'S Degree, Statistics And Machine Learning

Business

Activities and Societies: Phi Theta Kappa Honor Society